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Artigo de periodico
Online extra trees regressor (2023)
Mastelini, Saulo Martiello ; Nakano, Felipe Kenji; Vens, Celine ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASTELINI, Saulo Martiello et al. Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, v. 34, n. 10, p. 6755-6767, 2023Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2022.3212859. Acesso em: 01 maio 2024.
APA
Mastelini, S. M., Nakano, F. K., Vens, C., & Carvalho, A. C. P. de L. F. de. (2023). Online extra trees regressor. IEEE Transactions on Neural Networks and Learning Systems, 34( 10), 6755-6767. doi:10.1109/TNNLS.2022.3212859
NLM
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Vancouver
Mastelini SM, Nakano FK, Vens C, Carvalho ACP de LF de. Online extra trees regressor [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2023 ; 34( 10): 6755-6767.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2022.3212859
Artigo de periodico
Link prediction based on stochastic information diffusion (2021)
Vega-Oliveros, Didier Augusto ; Liang, Zhao ; Rocha, Anderson; Berton, Lilian
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: PROBABILIDADE, DISSEMINAÇÃO SELETIVA DA INFORMAÇÃO, REDES COMPLEXAS, EDITORES DE LIGAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VEGA-OLIVEROS, Didier Augusto et al. Link prediction based on stochastic information diffusion. IEEE Transactions on Neural Networks and Learning Systems, 2021Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2021.3053263. Acesso em: 01 maio 2024.
APA
Vega-Oliveros, D. A., Liang, Z., Rocha, A., & Berton, L. (2021). Link prediction based on stochastic information diffusion. IEEE Transactions on Neural Networks and Learning Systems. doi:10.1109/TNNLS.2021.3053263
NLM
Vega-Oliveros DA, Liang Z, Rocha A, Berton L. Link prediction based on stochastic information diffusion [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2021 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2021.3053263
Vancouver
Vega-Oliveros DA, Liang Z, Rocha A, Berton L. Link prediction based on stochastic information diffusion [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2021 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2021.3053263
Artigo de periodico
Organizational data classification based on the importance concept of complex networks (2018)
Carneiro, Murillo Guimarães; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murillo Guimarães e LIANG, Zhao. Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 8, p. 3361-3373, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2017.2726082. Acesso em: 01 maio 2024.
APA
Carneiro, M. G., & Liang, Z. (2018). Organizational data classification based on the importance concept of complex networks. IEEE Transactions on Neural Networks and Learning Systems, 29( 8), 3361-3373. doi:10.1109/TNNLS.2017.2726082
NLM
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Vancouver
Carneiro MG, Liang Z. Organizational data classification based on the importance concept of complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 8): 3361-3373.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2017.2726082
Artigo de periodico
Network unfolding map by vertex-edge dynamics modeling (2018)
Verri, Filipe Alves Neto; Urio, Paulo Roberto; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: FFCLRP
Subjects: REDES NEURAIS, REDES COMPLEXAS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto e URIO, Paulo Roberto e LIANG, Zhao. Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, v. 29, n. 2, p. 405-418, 2018Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2016.2626341. Acesso em: 01 maio 2024.
APA
Verri, F. A. N., Urio, P. R., & Liang, Z. (2018). Network unfolding map by vertex-edge dynamics modeling. IEEE Transactions on Neural Networks and Learning Systems, 29( 2), 405-418. doi:10.1109/TNNLS.2016.2626341
NLM
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Vancouver
Verri FAN, Urio PR, Liang Z. Network unfolding map by vertex-edge dynamics modeling [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2018 ; 29( 2): 405-418.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2016.2626341
Artigo de periodico
Competitive learning with pairwise constraints (2013)
Covões, Thiago F; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago F e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. ja 2013, p. 164-169, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2227064. Acesso em: 01 maio 2024.
APA
Covões, T. F., Hruschka, E. R., & Ghosh, J. (2013). Competitive learning with pairwise constraints. IEEE Transactions on Neural Networks and Learning Systems, 24( ja 2013), 164-169. doi:10.1109/TNNLS.2012.2227064
NLM
Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
Vancouver
Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( ja 2013): 164-169.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2227064
Artigo de periodico
Phase-noise-induced resonance in arrays of coupled excitable neural models (2013)
Xiaoming, Liang; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XIAOMING, Liang e LIANG, Zhao. Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. 8, p. 1339-1345, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2013.2254126. Acesso em: 01 maio 2024.
APA
Xiaoming, L., & Liang, Z. (2013). Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, 24( 8), 1339-1345. doi:10.1109/TNNLS.2013.2254126
NLM
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
Vancouver
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
Artigo de periodico
Network-based high level data classification (2012)
Silva, Thiago Christiano; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. ju 2012, p. 954-970, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2195027. Acesso em: 01 maio 2024.
APA
Silva, T. C., & Liang, Z. (2012). Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, 23( ju 2012), 954-970. doi:10.1109/TNNLS.2012.2195027
NLM
Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
Vancouver
Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027
Artigo de periodico
Enhancing weak signal transmission through a feedforward network (2012)
Xiaoming, Liang; Liang, Zhao; Zonghua, Liu
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
XIAOMING, Liang e LIANG, Zhao e ZONGHUA, Liu. Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 9, p. 1506-1512, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2204772. Acesso em: 01 maio 2024.
APA
Xiaoming, L., Liang, Z., & Zonghua, L. (2012). Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, 23( 9), 1506-1512. doi:10.1109/TNNLS.2012.2204772
NLM
Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
Vancouver
Xiaoming L, Liang Z, Zonghua L. Enhancing weak signal transmission through a feedforward network [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 9): 1506-1512.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2012.2204772
Artigo de periodico
Network-based stochastic semisupervised learning (2012)
Silva, Thiago Christiano; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 451-466, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181413. Acesso em: 01 maio 2024.
APA
Silva, T. C., & Liang, Z. (2012). Network-based stochastic semisupervised learning. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 451-466. doi:10.1109/TNNLS.2011.2181413
NLM
Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
Vancouver
Silva TC, Liang Z. Network-based stochastic semisupervised learning [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 451-466.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181413
Artigo de periodico
Stochastic competitive learning in complex networks (2012)
Silva, Thiago Christiano; Liang, Zhao
Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. 3, p. 385-398, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2011.2181866. Acesso em: 01 maio 2024.
APA
Silva, T. C., & Liang, Z. (2012). Stochastic competitive learning in complex networks. IEEE Transactions on Neural Networks and Learning Systems, 23( 3), 385-398. doi:10.1109/TNNLS.2011.2181866
NLM
Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866
Vancouver
Silva TC, Liang Z. Stochastic competitive learning in complex networks [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( 3): 385-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/TNNLS.2011.2181866

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